The Tech Strategy Podcast How to Build an Agentic AI Operating Model (263)
Nov 4, 2025
Explore the transformative potential of agentic AI as a new tech paradigm. Discover crucial components like agents and hybrid workforces that redefine organizational structures. Learn how to prioritize impactful AI use cases and map them into workflows. Delve into the importance of treating agents like employees and the stages of adopting agentic systems. Examine data challenges, governance risks, and the influence of these agents on industry interactions and content creation. Prepare for a future where non-human contributions reshape marketplaces.
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Agentic AI Is A New Tech Paradigm
- Agentic AI marks a new technological age beyond digital, with agents able to decide and execute tasks autonomously.
- This shift combines generative AI, agents, embodied intelligence, and embedded machine learning into business systems.
Map Workflows Not Individual Agents
- Map workflows end-to-end rather than focusing on isolated agent use cases to generate real value.
- Assess how AI integration changes people, processes, and technology at each workflow step.
Four Levels For AI In Workflows
- Workflows should be mapped across four technology levels: rules-based, analytical, generative, and agentic.
- Use this grid to choose where to apply deterministic software versus LLMs and agents.
